python crushes when running theano code about python-machine-learning-book HOT 7 CLOSED

Hi, there,

Does the problem only occur when you are running the code/notebook via GPU (i.e., does it work okay on CPU?).

Maybe try to run this snippet as a .py script instead of the notebook for further debugging of the issue. However, based on my experience, a restarting kernel is often related to memory issues, so maybe this wouldn't help.

However, I would maybe try it

THEANO_FLAGS=device=gpu,floatX=float32 python your_script.py

and

THEANO_FLAGS=device=cpu,floatX=float64 python your_script.py

to find out more

from python-machine-learning-book.

THEANO_FLAGS=device=gpu,floatX=float32
this setting does solve the problem. I was using THEANO_FLAGS=device=cuda,floatX=float32, which allows the gpu test code here http://deeplearning.net/software/theano/tutorial/using_gpu.html to run. I am wondering if there is any difference between those two settings.
Also it seems like there is no show_accuracy in keras.models.Sequential

Thanks

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Thanks for the note about Keras; that's been the old syntax that has been deprecated. I changed it to make it Keras 2 compatible (see notebook here: https://github.com/rasbt/python-machine-learning-book/blob/master/code/ch13/ch13.ipynb)

As for Theano, not sure what causes this issue. From their website

Using the GPU in Theano is as simple as setting the device configuration flag to device=cuda (or device=gpu for the old backend (http://deeplearning.net/software/theano/tutorial/using_gpu.html)

Have you seen any meaningful error messages in the command line when you ran

THEANO_FLAGS=device=cuda,floatX=float32 python your_script.py

?

from python-machine-learning-book.

fatal error: cudnn.h: No such file or directory\r\ncompilation terminated.\r\n'
Mapped name None to device cuda: GeForce GTX 660 (0000:01:00.0)
Using Theano backend.

I do get this error before python crushed.

from python-machine-learning-book.

And I just noticed that using this setting:
THEANO_FLAGS=device=gpu,floatX=float32 python your_script.py
can make the code up and running, but it is actually still using cpu

from python-machine-learning-book.

Hm, sounds like it's having issues with recognizing the cuda/cudnn installation? This might be a general theano setup problem. Maybe, you can find some useful information in their guide at http://deeplearning.net/software/theano/install.html

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Thank you!

from python-machine-learning-book.